Microsoft Azure Ai Foundry

Microsoft Azure Ai Foundry Engineer Jobs

2 jobs found

Today

Associate AI Engineer

Worldpac Oak Brook, IL

Oak Brook, IL

Today

$83k - $111k/yr Full time Agentic Ai Artificial Intelligence Azure

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Job Description

Worldpac is hiring an early-career Associate AI Engineer to support the Data & Analytics team. In this full-time, on-site role in Oak Brook, IL, you will help design, build, and maintain AI-powered solutions, including chat assistants, workflow automation, and integrations.

Key Responsibilities

Translate product requirements and user stories into AI and ML solutions, with guidance from senior engineers and the Product Manager
Contribute to building and testing AI chat assistants and automation tools for internal teams, in collaboration with senior engineers and external partners
Assist with integrating AI solutions with existing databases, APIs, and business applications
Help build, train, and evaluate machine learning and LLM-based features while learning production, quality, and security standards
Contribute to agentic and retrieval-augmented (RAG) workflows using frameworks such as LangChain or similar, starting with guided tasks and progressing toward independence
Support and help maintain existing AI agents, tools, and automations, including troubleshooting with team support
Write clean, well-documented code and participate in code reviews to strengthen engineering habits
Help support and promote the internal AI chat platform (WPChat) across the organization
Document what you build and stay current with AI/ML developments, sharing learnings with the team
Collaborate across IT, data, and business teams, and partner with external vendors on delivery

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or an equivalent combination of education and practical experience (including bootcamps or a strong self-taught portfolio). Recent and upcoming graduates are welcome
Foundational programming ability in Python, demonstrated through coursework, internships, academic or personal projects, bootcamp work, or open-source contributions
Working understanding of core AI/ML and large language model (LLM) concepts, including how they work and where they are used
Hands-on exposure to at least one relevant area, such as building with an LLM or AI framework (for example, LangChain), an ML project, an API integration, or a chatbot (class, capstone, or personal project also counts)
Comfort with engineering fundamentals including version control (Git), reading documentation, and debugging
Strong problem-solving skills, attention to detail, and a genuine eagerness to learn
Clear communication and a collaborative, team-oriented mindset

Technologies You May Work With

Python, LangChain, LangGraph, AutoGen, ReAct, LlamaIndex, Haystack
PyTorch, scikit-learn
AWS, Azure, GCP, Vertex AI, Amazon Bedrock, Azure AI Foundry
Portkey, Kong, MCP servers
Oracle, Workday, Salesforce, ServiceNow, Jira
RPA, Git
WPChat

Work Arrangement and Pay Range

Location: Oak Brook, IL (on-site)
Employment Type: Full-time
Pay Range: USD $83,000.00 to USD $111,000.00 per year

Opportunity Notes

Worldpac is unable to sponsor H1-B’s or TN’s now or in the future.

How You Will Grow (Learning Focus)

Agent orchestration frameworks (LangChain, LangGraph, or AutoGen) and patterns such as ReAct and plan-and-execute, including memory and human-in-the-loop flows
Retrieval-augmented generation (RAG) and NLP tooling (for example, LlamaIndex, Haystack, PyTorch, scikit-learn)
Deploying AI solutions on cloud platforms (AWS, Azure, or GCP) and platform tools such as Vertex AI, Amazon Bedrock, or Azure AI Foundry
Working with AI gateways (for example, Portkey, Kong) and MCP servers that connect to enterprise systems (Oracle, Workday, Salesforce, ServiceNow, Jira)
Building and integrating RPA workflows and connecting them to LLM decision layers
MLOps practices for deploying and monitoring models, and building conversational AI across channels (web chat, and potentially voice, SMS, and email)

Nice to Have

Hands-on exposure to LLM agent frameworks (LangChain, AutoGen, LangGraph, CrewAI, Flowise) or RAG tools (LlamaIndex, Haystack)
Experience with a cloud platform (AWS, Azure, GCP) or an AI platform tool (Vertex AI, Bedrock, Azure AI Foundry)
Exposure to LibreChat, MLOps tooling, AI gateways (Portkey, Kong), or MCP servers
Coursework or projects in NLP, chatbots, or conversational AI, including voice, SMS, email, or web chat
Internship or project experience in web, eCommerce, or general software development
Familiarity with data privacy and security basics
Interest in or exposure to wholesale distribution, manufacturing, CPG, or eCommerce industries

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Today

Azure AI Engineer

Advantex Professional Services Huntington Beach, CA

Huntington Beach, CA

Today

$135k - $150k/yr Full time Artificial Intelligence Azure Azure Ai

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Job Description

Advantex Professional Services is seeking a Senior AI / Machine Learning Engineer to build and expand modern AI capabilities across a large, complex global data environment.

Responsibilities

Build real world AI and machine learning solutions
Develop applications using LLMs, RAG, and Python
Work with large, complex data environments
Perform data modeling and design Lakehouse architectures
Deliver traditional machine learning and forecasting work
Identify opportunities where AI can improve business processes and decision making
Help develop the company’s overall AI capabilities and roadmap
Solve complex data integration challenges across a global organization

Requirements

Strong AI and machine learning engineering experience
Strong data background
Experience working with large scale or complex data environments
RAG experience
Python
Data modeling experience
Lakehouse or similar architecture experience
Experience building practical AI solutions
Understanding of traditional machine learning and forecasting
Ability to work independently and contribute quickly
Azure AI experience is strongly preferred
Azure AI Foundry experience highly desirable

Cloud / AI Platform Experience

Azure AI is the preferred environment
Azure AI Foundry is highly desirable
Experience translating well from AWS, Google Cloud, or similar platforms is acceptable

Technologies

LLMs
RAG
Python
Azure AI
Azure AI Foundry
AWS
Google Cloud

What You’ll Be Working On

Real-world AI and machine learning solution development
LLM and RAG application development with Python
Data modeling and Lakehouse architecture work
Traditional machine learning and forecasting
AI-driven improvements to business processes and decision making
AI capability and roadmap development
Data integration across a global organization

Role Details

Location: Huntington Beach, CA (onsite)
Compensation: USD 135,000 - 150,000 per year

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